What to Keep in an Insurance AI Decision Evidence Pack
Insurance AI decision documentation for reconstructing one underwriting or claims outcome, including human review, notice, appeal, and model version.
Claims
AI in claims, from triage to settlement: autonomy levels, documentation duties, and the disputes that follow.
AI Use Cases in Insurance by Business Line →Guides & analysis
AI in Insurance Claims
AI in insurance claims, step by step from intake to appeal: what each system decides, where it can go wrong, and what record makes the step reviewable.
AI in Insurance Fraud Detection and the Governance of Suspicion
How insurers use AI to detect fraud, how generative AI changes the fight, and what governance is needed to avoid false positives and bias.
Prior Authorization Is Where Health AI Gets Tested
How health insurers use AI in prior authorization, claims adjudication, and risk adjustment. What the NAIC, CMS, and recent litigation mean for governance.
How to Build an AI Inventory by Line of Business for NAIC Exhibit A
Map your insurance AI systems by line of business for NAIC Exhibit A. Use this template to capture underwriting, pricing, claims, fraud, and customer service AI.
AI Use Cases in Insurance by Business Line
A business-line map of insurance AI: the decision each system shapes, the risk that makes the line distinct, and the guide to read next.
Agentic AI in Claims and the Human Review Test
How agentic AI in insurance changes claims decisions, where Exhibit C records the risk, and how carriers can test whether human review is meaningful.